Senior Data Platform Engineer – Python, AWS, MDM

Posted 3hrs ago

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Job Description

Senior Data Platform Engineer leading design and management of Python/AWS data pipelines for financial services company. Collaborating on enterprise scale data solutions with sophisticated engineering.

Responsibilities:

  • Architect and maintain Python applications using Object-Oriented Programming (OOP) and enterprise design patterns.
  • Build RESTful APIs and microservices using FastAPI or Flask.
  • Utilize frameworks like Pandas, NumPy, SQLAlchemy, and PySpark for sophisticated data processing.
  • Implement solutions using Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
  • Manage reproducible deployments via CloudFormation, CDK, or Terraform.
  • Deploy and orchestrate services using Docker, ECS, or Kubernetes.
  • Design scalable ETL/ELT pipelines using Airflow, Prefect, or AWS Step Functions.
  • Build real-time and batch processing systems using serverless and event-driven patterns.
  • CI/CD workflows, automated testing (pytest), and data validation

Requirements:

  • Software Experience: 5+ years in software development with 4+ years of dedicated production Python experience (including async programming).
  • AWS Expertise: 3+ years of hands-on experience with data-centric AWS services.
  • MDM experience
  • Architecture Knowledge: Deep understanding of ETL/ELT patterns and modern data architecture principles.
  • Communication: Proven ability to explain complex technical concepts to business stakeholders and project managers.

Benefits:

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.